The graph represents a network of 4,783 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 17 April 2021 at 10:41 UTC.
The requested start date was Saturday, 17 April 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 12-hour, 5-minute period from Saturday, 03 April 2021 at 00:47 UTC to Friday, 16 April 2021 at 12:52 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 4783
Unique Edges : 3036
Edges With Duplicates : 5245
Total Edges : 8281
Number of Edge Types : 5
Retweet : 2334
MentionsInRetweet : 3115
Tweet : 680
Replies to : 686
Mentions : 1466
Self-Loops : 704
Reciprocated Vertex Pair Ratio : 0.00693452987966551
Reciprocated Edge Ratio : 0.0137735466882722
Connected Components : 890
Single-Vertex Connected Components : 261
Maximum Vertices in a Connected Component : 1477
Maximum Edges in a Connected Component : 3506
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.267334
Graph Density : 0.000215850557438327
Modularity : 0.602475
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,783 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 17 April 2021 at 10:41 UTC.
The requested start date was Saturday, 17 April 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 12-hour, 5-minute period from Saturday, 03 April 2021 at 00:47 UTC to Friday, 16 April 2021 at 12:52 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : SARS-COV
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[3649] sars,cov [434] variante,local [434] local,sars [403] nueva,variante [220] cov,sars [204] desestimó,oficialmente [204] oficialmente,exista [200] covid,19 [198] antes,versiones [194] original,sars Top Word Pairs in Tweet in G1:
[457] sars,cov [73] αναλυτικοί,πίνακες [70] νέες,μολύνσεις [70] μολύνσεις,sars [65] cov,αναλυτικοί [45] cov,sars [29] covid,19 [25] multilevel,proteomics [25] proteomics,reveals [25] reveals,host Top Word Pairs in Tweet in G2:
[190] correct,scientific [190] scientific,articles [190] articles,shown [190] shown,dezying [190] dezying,linking [190] linking,increase [190] increase,#covid19's [190] #covid19's,virulence [190] virulence,modifying [189] lawrencesellin,correct Top Word Pairs in Tweet in G3:
[256] sars,cov [247] variante,local [247] local,sars [215] nueva,variante [202] desestimó,oficialmente [202] oficialmente,exista [171] cov,encuentra [170] anlis_malbran,desestimó [170] exista,nueva [142] dirección,anlis_malbran Top Word Pairs in Tweet in G4:
[179] michael,yeadon [179] yeadon,interview [179] interview,former [179] former,pfizer [179] pfizer,vp [179] vp,explains [179] explains,virus [179] virus,variants [179] variants,difference [179] difference,original Top Word Pairs in Tweet in G5:
[184] antes,versiones [184] nueva,variante [184] variante,local [184] local,sars [184] sars,cov [131] anlis,malbrán [129] malbrán,desmiente [129] desmiente,haya [129] haya,cepa [129] cepa,buenos Top Word Pairs in Tweet in G6:
[13] sars,cov [4] hungryfillbe,carlsmythe [4] angelifrankie,lilelectronblue [4] lilelectronblue,blaineillimatta [4] and_nothingelse,hcornea [4] monstatofu,houseofgab [4] chrisjohnsonmd,lysandergrant [4] awithonelison,_mamadeb [4] kayvonpaul,stopvaxxedlies [4] stopvaxxedlies,beckyjohnson222 Top Word Pairs in Tweet in G7:
[170] sars,cov [111] mejora,dependiente [111] dependiente,anticuerpos [56] anticuerpos,ade [55] ade,mejora [55] anticuerpos,vacuna [55] vacuna,vade [55] vade,lecciones [54] papayaykware,mejora [45] cov,virus Top Word Pairs in Tweet in G8:
[231] sars,cov [83] sorenschifter,sars [47] genome,87 [47] 87,identical [47] identical,sars [47] cov,higher [47] higher,75 [47] 75,human [47] human,coronaviruses [47] coronaviruses,see Top Word Pairs in Tweet in G9:
[163] sars,cov [94] antibody,dependent [94] dependent,enhancement [94] enhancement,ade [94] cov,protein [72] robinmonottibis,antibody [63] protein,specific [63] specific,antibodies [45] ade,sars [45] antibodies,elicit Top Word Pairs in Tweet in G10:
[101] sars,cov [12] cov,sars [11] cdc,predicts [11] predicts,july [11] july,2005 [11] 2005,events [11] events,indicate [11] indicate,sars [11] sars,epidemic [11] epidemic,recur Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: